Principles of Artificial IntelligenceA classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study. |
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... backward direction , it is often convenient to make this distinction explicit . When a problem has intuitively clear states and goals and when we choose to employ descriptions of these states as the global database of a production ...
... BACKWARD SYSTEM Both the forward and the backward rule - based deduction systems had limitations . The backward system could handle goal expressions of arbitrary form but was restricted to fact expressions consisting of conjunctions of ...
... BACKWARD PRODUCTION SYSTEM 7.4.1 . DEVELOPMENT OF THE B - RULES In order to construct robot plans in an efficient fashion , we often want to work ... backward production system is 287 A BACKWARD PRODUCTION SYSTEM A Backward Production System.
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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